Aterian (ATER) Total Non-Current Liabilities (2018 - 2026)
Aterian's Total Non-Current Liabilities came in at $10.91 million for Q2 2026, down 47.8% from $20.89 million a year earlier and down 12.4% from the prior quarter.
Aterian (ATER) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Aterian's Total Non-Current Liabilities was $14.13 million, down 26.8% from FY2024.
- Total Non-Current Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -33.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $19.3 million in FY2024 (-24.2%), $25.45 million in FY2023 (-52.0%), $53.04 million in FY2022 (-33.8%) and $80.12 million in FY2021 (-28.2%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2018.
- Year-over-year, Total Non-Current Liabilities has declined for five consecutive quarters, with an average decline of 29.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 45.8%), and the weakest in Q1 2022 (a decline of 54.4%).
- Business Quant data shows ATER's Total Non-Current Liabilities at $12.46 million (Q1 2026), $14.13 million (Q4 2025) and $17.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Aterian | 6.85 Mn | -10.46 Mn | 1,000.00 | 10.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.91 Mn |
| Mar 31, 2026 | 12.46 Mn |
| Dec 31, 2025 | 14.13 Mn |
| Sep 30, 2025 | 17.28 Mn |
| Jun 30, 2025 | 20.89 Mn |
| Mar 31, 2025 | 22.55 Mn |
| Dec 31, 2024 | 19.30 Mn |
| Sep 30, 2024 | 21.26 Mn |
| Jun 30, 2024 | 28.69 Mn |
| Mar 31, 2024 | 22.35 Mn |
| Dec 31, 2023 | 25.45 Mn |
| Sep 30, 2023 | 38.58 Mn |
| Jun 30, 2023 | 40.75 Mn |
| Mar 31, 2023 | 42.41 Mn |
| Dec 31, 2022 | 53.04 Mn |
| Sep 30, 2022 | 55.94 Mn |
| Jun 30, 2022 | 71.96 Mn |
| Mar 31, 2022 | 78.81 Mn |
| Dec 31, 2021 | 80.12 Mn |
| Sep 30, 2021 | 77.48 Mn |
Aterian Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=ATER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ATER", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=ATER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();